Which of the following is NOT a possible outcome of a probabilistic matching algorithm?
MDM programs often face challenges and can fail due to a combination of factors. Here's a detailed explanation:
Emphasis on Technology:
Technology-Centric Approach: Overemphasis on technology solutions without addressing people and process components can lead to failure. Successful MDM programs require balanced attention to technology, people, and processes.
Positioning within IT:
IT Focus: Poor positioning of the MDM program within the IT organization can lead to it being seen as a purely technical initiative, missing the necessary business alignment and support.
Business Commitment and Engagement:
Lack of Engagement: Insufficient commitment and engagement from the business side can result in inadequate support, resources, and buy-in, leading to failure.
Program vs. Project:
Long-Term Perspective: Treating MDM as a one-time project rather than an ongoing program can limit its effectiveness. MDM requires continuous improvement and adaptation to evolving business needs.
Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'
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